Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Linked to FindBook
Google Book
Amazon
博客來
Machine learning in cognitive IoT
Record Type:
Electronic resources : Monograph/item
Title/Author:
Machine learning in cognitive IoT/ by Neeraj Kumar, Aaisha Makkar.
Author:
Kumar, Neeraj.
other author:
Makkar, Aaisha.
Published:
Boca Raton, FL :CRC Press, : c2020.,
Description:
1 online resource (xxii, 296 p.) :ill.
Subject:
Embedded computer systems. -
Online resource:
https://www.taylorfrancis.com/books/9780429342615
ISBN:
9780429342615
Machine learning in cognitive IoT
Kumar, Neeraj.
Machine learning in cognitive IoT
[electronic resource] /by Neeraj Kumar, Aaisha Makkar. - Boca Raton, FL :CRC Press,c2020. - 1 online resource (xxii, 296 p.) :ill.
Includes bibliographical references and index.
This book covers the different technologies of Internet, and machine learning capabilities involved in Cognitive Internet of Things (CIoT). Machine learning is explored by covering all the technical issues and various models used for data analytics during decision making at different steps. It initiates with IoT basics, its history, architecture and applications followed by capabilities of CIoT in real world and description of machine learning (ML) in data mining. Further, it explains various ML techniques and paradigms with different phases of data pre-processing and feature engineering. Each chapter includes sample questions to help understand concepts of ML used in different applications. Explains integration of Machine Learning in IoT for building an efficient decision support system Covers IoT, CIoT, machine learning paradigms and models Includes implementation of machine learning models in R Help the analysts and developers to work efficiently with emerging technologies such as data analytics, data processing, Big Data, Robotics Includes programming codes in Python/Matlab/R alongwith practical examples, questions and multiple choice questions.
ISBN: 9780429342615Subjects--Topical Terms:
582088
Embedded computer systems.
LC Class. No.: TK7895.E42 / K86 2020
Dewey Class. No.: 006.22
Machine learning in cognitive IoT
LDR
:02179cmm a2200313 a 4500
001
2338536
003
FlBoTFG
005
20200921045615.0
006
m o d
007
cr cnu---unuuu
008
240605s2020 flua ob 001 0 eng d
020
$a
9780429342615
$q
(ebook)
020
$a
0429342616
$q
(ebook)
020
$a
9781000767971
$q
(ebook)
020
$a
1000767973
$q
(ebook)
020
$a
9781000767599
$q
(ebook)
020
$a
1000767590
$q
(ebook)
020
$z
9780367359164
$q
(hbk.)
035
$a
9780429342615
040
$a
OCoLC-P
$b
eng
$c
OCoLC-P
041
0
$a
eng
050
4
$a
TK7895.E42
$b
K86 2020
082
0 4
$a
006.22
$2
23
100
1
$a
Kumar, Neeraj.
$3
3443379
245
1 0
$a
Machine learning in cognitive IoT
$h
[electronic resource] /
$c
by Neeraj Kumar, Aaisha Makkar.
260
$a
Boca Raton, FL :
$b
CRC Press,
$c
c2020.
300
$a
1 online resource (xxii, 296 p.) :
$b
ill.
504
$a
Includes bibliographical references and index.
520
$a
This book covers the different technologies of Internet, and machine learning capabilities involved in Cognitive Internet of Things (CIoT). Machine learning is explored by covering all the technical issues and various models used for data analytics during decision making at different steps. It initiates with IoT basics, its history, architecture and applications followed by capabilities of CIoT in real world and description of machine learning (ML) in data mining. Further, it explains various ML techniques and paradigms with different phases of data pre-processing and feature engineering. Each chapter includes sample questions to help understand concepts of ML used in different applications. Explains integration of Machine Learning in IoT for building an efficient decision support system Covers IoT, CIoT, machine learning paradigms and models Includes implementation of machine learning models in R Help the analysts and developers to work efficiently with emerging technologies such as data analytics, data processing, Big Data, Robotics Includes programming codes in Python/Matlab/R alongwith practical examples, questions and multiple choice questions.
588
$a
Description based on print version record.
650
0
$a
Embedded computer systems.
$3
582088
650
0
$a
Machine learning.
$3
533906
650
0
$a
Internet of things.
$3
2057703
700
1
$a
Makkar, Aaisha.
$3
3538508
856
4 0
$u
https://www.taylorfrancis.com/books/9780429342615
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W9463668
電子資源
11.線上閱覽_V
電子書
EB TK7895.E42 K86 2020
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login